Search results for "Numerical Weather Prediction"

showing 4 items of 24 documents

Identifying Rossby wave trains and quantifying their properties

2013

A novel method is introduced to automatically identify upper-level Rossby wave trains and to objectively diagnose their properties. Based on the envelope of the upper tropospheric meridional wind represented in a Hovmoller diagram, the algorithm identifies individual Rossby wave trains as objects. These depend to some extent on user defined parameters. The utility of the method is demonstrated in two areas of application. First, the skill of a particular numerical weather prediction model is analysed for a specific case of a long-lived Rossby wave train. For this purpose, a novel diagnostic is designed based on a Hovmoller diagram of the Rossby wave train objects that contains forecast data…

TroposphereAtmospheric ScienceSeries (mathematics)MeteorologyDiagramRossby waveTrainHovmöller diagramNumerical weather predictionEnvelope (mathematics)GeologyQuarterly Journal of the Royal Meteorological Society
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Modern small wind turbine design solutions comparison in terms of estimated cost to energy output ratio

2015

This paper presents a series of estimations performed in order to establish the actual cost-effectiveness of three different small wind turbines (SWTs) design solutions. Each of them was evaluated and based on their power curves and installation costs, using wind data from a numerical weather prediction (WNP) model, a return on investment (ROI) period was calculated. The chosen turbines are: a standard three bladed horizontal axis wind turbine (HAWT), an advanced diffuser augmented HAWT and a Darrieus type vertical axis wind turbine (VAWT). The conclusions drawn from this study entertain the idea that from the economical point of view, a price reduction of SWT systems is more important than…

Vertical axis wind turbineEngineeringWind powerSmall wind turbineRenewable Energy Sustainability and the Environmentbusiness.industryAerodynamicsNumerical weather predictionTurbinePower (physics)Renewable energybusinessSimulationMarine engineeringRenewable Energy
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Applying Numerical Weather Prediction Models to the Production of New European Wind Atlas : Sensitivity studies of the wind climate to the planetary …

2018

Reliable and precise information about the wind speed climate is crucial for the development of wind energy. Meteorological processes in the mesoscale (2 – 200 km) can be represented using Numerical Weather Prediction (NWP) models such as the Weather Research and Forecast model (WRF), but before their application for creating wind energy atlases, their results and sensitivity to modelling parameters should be investigated. Here the WRF model wind speed results for the year 2015 for the Baltic Sea region are investigated, and the effect of the planetary boundary layer parametrization scheme is analyzed.

Wind power010504 meteorology & atmospheric sciencesMeteorologyPlanetary boundary layerbusiness.industry0208 environmental biotechnologyMesoscale meteorology02 engineering and technologyNumerical weather prediction01 natural sciencesWind speed020801 environmental engineeringWeather Research and Forecasting ModelPhysics::Space PhysicsWind atlasEnvironmental scienceParametrization (atmospheric modeling)businessPhysics::Atmospheric and Oceanic Physics0105 earth and related environmental sciences2018 IEEE 59th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON)
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Verification of Numerical Weather Prediction Model Results for Energy Applications in Latvia

2014

Abstract Wind power forecasting greatly relies on wind speed forecasts. Numerical Weather Prediction (NWP) models are a reliable source of meteorological forecasts and they can also be used in wind resource assessment. In this work we carry out the verification of wind speed results from the NWP model Weather Research and Forecast (WRF), grid resolution - 3 km. Results from 172 model runs in May and November 2013 are compared with meteorological observations in 24 stations in Latvia. The model usually predicts wind speed values that are larger than the observed and the diurnal cycle has a large impact on verification results. Verification results obtained by interpolating model results betw…

Wind powerMeteorologybusiness.industryVerificationWind power forecastingWind directionNumerical weather predictionWind speedModel output statisticsEnergy(all)Weather Research and Forecasting ModelNumerical Weather PredictionWRF.Wind resource assessmentEnvironmental sciencebusinessWind energyEnergy Procedia
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